LLama.Web has no heavy dependencies and no extra frameworks over bootstrap, jquery and mustache to keep the examples clean and easy to copy over to your own project

Using signalr websockets simplifies the streaming of responses and model per connection management

Models, Prompts and Inference parameters can be added to appsettings.json. If you would like to add your own local model files then it's best to create an appSettings.Local.json file and add them there. The appSettings.Local.json file will be ignored by Git.

Models You can add multiple models to the options for quick selection in the UI, options are based on ModelParams so its fully configurable.

Parameters You can add multiple sets of inference parameters to the options for quick selection in the UI, options are based on InferenceParams so its fully configurable

Prompts You can add multiple sets of prompts to the options for quick selection in the UI

Example:

 {
        "Name": "Alpaca",
        "Path": "D:\\Repositories\\AI\\Prompts\\alpaca.txt",
        "Prompt": "Alternatively to can set a prompt text directly and omit the Path"
        "AntiPrompt": [
          "User:"
        ],
        "OutputFilter": [
          "Response:",
          "User:"
        ]
  }

The interactive UI is a simple example of using LLamaSharp.